BunkaTopics

A game theoretic approach to explain the output of any machine learning model.

Draw pretty maps from OpenStreetMap data! Built with osmnx +matplotlib + shapely

? Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models

Jupyter notebook and datasets from the pandas video series

[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.

simple tools for data cleaning in R

The JavaScript data transformation and analysis toolkit inspired by Pandas and LINQ.

Prepping tables for machine learning

[ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers, a novel method to visualize any Transformer-based network. Including examples for DETR, VQA.

Visualization toolkit for neural networks in PyTorch! Demo -->